Author: Publisher:
ISBN:
Category : Numerical analysis
Languages : en
Pages : 72
Book Description
Revue française d'automatique, informatique, recherche opérationnelle, sommaire
RAIRO, Revue Française D'automatique, D'informatique Et de Recherche Opérationnelle
Author: RAIRO
Author: Revue française d'automatique, informatique et recherche operationnelle
Author: Revue franc̜aise d'automatique, informatique, recherche operationnelle
Author: Revue française d'automatique, informatique, recherche opérationnelle
Author: Publisher:
ISBN:
Category : Electronic data processing
Languages : fr
Pages : 510
Book Description
Stable Numerical Schemes for Fluids, Structures and their Interactions
Author: Cornel Marius MureaPublisher: Elsevier
ISBN: 0081023804
Category : Technology & Engineering
Languages : en
Pages : 210
Book Description
This book presents numerical algorithms for solving incompressible fluids, elastic structures and fluid-structure interactions. It collects some of the fundamental finite element methods as well as new approaches.For Stokes and Navier-Stokes equations, the mixed finite element method is employed. An arbitrary Lagrangian Eulerian framework is used for fluids in a moving domain. Schemes for linear and St Venant-Kirchhoff non-linear dynamic elasticity are presented. For fluid-structure interaction, two schemes are analyzed: the first is fully implicit and the second is semi-implicit, where the fluid domain is computed explicitly and consequently the computational time is considerably reduced.The stability of the schemes is proven in this self-contained book. Every chapter is supplied with numerical tests for the reader. These are aimed at Masters students in Mathematics or Mechanical Engineering. - Presents a self-contained monograph of schemes for fluid and elastic structures, including their interactions - Provides a numerical analysis of schemes for Stokes and Navier-Stokes equations - Covers dynamic linear and non-linear elasticity and fluid-structure interaction
Integer Programming and Related Areas A Classified Bibliography 1976–1978
Author: D. HausmannPublisher: Springer Science & Business Media
ISBN: 3642463835
Category : Business & Economics
Languages : en
Pages : 326
Book Description
Ω-Bibliography of Mathematical Logic
Author: Heinz-Dieter EbbinghausPublisher: Springer Science & Business Media
ISBN: 3662090589
Category : Mathematics
Languages : en
Pages : 653
Book Description
Gert H. Müller The growth of the number of publications in almost all scientific areas, as in the area of (mathematical) logic, is taken as a sign of our scientifically minded culture, but it also has a terrifying aspect. In addition, given the rapidly growing sophistica tion, specialization and hence subdivision of logic, researchers, students and teachers may have a hard time getting an overview of the existing literature, partic ularly if they do not have an extensive library available in their neighbourhood: they simply do not even know what to ask for! More specifically, if someone vaguely knows that something vaguely connected with his interests exists some where in the literature, he may not be able to find it even by searching through the publications scattered in the review journals. Answering this challenge was and is the central motivation for compiling this Bibliography. The Bibliography comprises (presently) the following six volumes (listed with the corresponding Editors): I. Classical Logic W. Rautenberg 11. Non-classical Logics W. Rautenberg 111. Model Theory H.-D. Ebbinghaus IV. Recursion Theory P.G. Hinman V. Set Theory A.R. Blass VI. ProofTheory; Constructive Mathematics J.E. Kister; D. van Dalen & A.S. Troelstra.
Clustering Methodology for Symbolic Data
Author: Lynne BillardPublisher: John Wiley & Sons
ISBN: 0470713933
Category : Mathematics
Languages : en
Pages : 348
Book Description
Covers everything readers need to know about clustering methodology for symbolic data—including new methods and headings—while providing a focus on multi-valued list data, interval data and histogram data This book presents all of the latest developments in the field of clustering methodology for symbolic data—paying special attention to the classification methodology for multi-valued list, interval-valued and histogram-valued data methodology, along with numerous worked examples. The book also offers an expansive discussion of data management techniques showing how to manage the large complex dataset into more manageable datasets ready for analyses. Filled with examples, tables, figures, and case studies, Clustering Methodology for Symbolic Data begins by offering chapters on data management, distance measures, general clustering techniques, partitioning, divisive clustering, and agglomerative and pyramid clustering. Provides new classification methodologies for histogram valued data reaching across many fields in data science Demonstrates how to manage a large complex dataset into manageable datasets ready for analysis Features very large contemporary datasets such as multi-valued list data, interval-valued data, and histogram-valued data Considers classification models by dynamical clustering Features a supporting website hosting relevant data sets Clustering Methodology for Symbolic Data will appeal to practitioners of symbolic data analysis, such as statisticians and economists within the public sectors. It will also be of interest to postgraduate students of, and researchers within, web mining, text mining and bioengineering.